Rosalia Zianni

Dr. Rosalia Zianni

orcid

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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24 January 2013 in Analytical and Bioanalytical Chemistry
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Giuliana BiancoGiuliana Bianco
Giuliana Bianco
Rosalia ZianniRosalia Zianni
Rosalia Zianni
GAGiuseppe Anzillotta
Giuseppe Anzillotta
APAchille Palma
Achille Palma
VVVincenzo Vitacco
Vincenzo Vitacco
TCTommaso Cataldi
Tommaso Cataldi

3 February 2013 in Journal of Mass Spectrometry
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Journal Article
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Rosalia ZianniRosalia Zianni
Rosalia Zianni
Giuliana BiancoGiuliana Bianco
Giuliana Bianco
Filomena LelarioFilomena Lelario
Filomena Lelario
Ilario LositoIlario Losito
Ilario Losito
FPFrancesco Palmisano
Francesco Palmisano
TCTommaso Cataldi
Tommaso Cataldi

4 February 2009 in Analytical and Bioanalytical Chemistry
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Journal Article
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Giuliana BiancoGiuliana Bianco
Giuliana Bianco
GNGiuseppe Novario
Giuseppe Novario
Rosalia ZianniRosalia Zianni
Rosalia Zianni
TCTommaso Cataldi
Tommaso Cataldi

22 August 2019 in International Journal of Food Science and Technology
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Journal Article
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MCMaria Campaniello
Maria Campaniello
GMGiuliana Marchesani
Giuliana Marchesani
Rosalia ZianniRosalia Zianni
Rosalia Zianni
MTMarina Tarallo
Marina Tarallo
MMMichele Mangiacotti
Michele Mangiacotti
ECEugenio Chiaravalle
Eugenio Chiaravalle
Summary: A rapid and simple procedure to detect irradiated food containing fat is proposed. This method is based on HS‐SPME coupled with GC‐MS to determine the presence of a radiolytic product in irradiated meats: 2‐dodecylcyclobutanone (2‐DCB) and is proposed as an alternative to EN 1785:2003, which is a long and complex procedure. The qualitative confirmation method is validated on different type of meats: chicken, turkey, duck, beef, pork on both nonirradiated and irradiated samples at different dose levels (0.05, 0.12, 0.5, 1.0 and 3.0 kGy) with a biological X‐ray irradiator. The validation parameters investigated are selectivity, minimum dose level (MDL), limit of detection (LOD), sensitivity and specificity. The MDL and LOD values were 0.5 kGy and 5.0 ng mL−1, respectively, for all matrices. No false positives or false negatives occurred, and 100% of samples were correctly identified. The results show that HS‐SPME GC‐MS is suitable for routine analysis.

25 April 2019 in Molecular Reproduction and Development
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Journal Article
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GMGiuseppina Marzano
Giuseppina Marzano
AMAntonella Mastrorocco
Antonella Mastrorocco
Rosalia ZianniRosalia Zianni
Rosalia Zianni
MMMichele Mangiacotti
Michele Mangiacotti
ECEugenio Chiaravalle
Eugenio Chiaravalle
NMNicola Antonio Martino
Nicola Antonio Martino

30 May 2023 in Foods
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MTMichele Tomaiuolo
Michele Tomaiuolo
VNVALERIA NARDELLI
VALERIA NARDELLI
Annalisa MentanaAnnalisa Mentana
Annalisa Mentana
MCMaria Campaniello
Maria Campaniello
Rosalia ZianniRosalia Zianni
Rosalia Zianni
Marco IammarinoMarco Iammarino
Marco Iammarino
In this work, an investigation using UHPLC-Q-Orbitrap-MS and multivariate statistics was conducted to obtain the lipid fingerprint of Camembert cheese and to explore its correlated variation with respect to X-ray irradiation treatment. A total of 479 lipids, categorized into 16 different lipid subclasses, were measured. Furthermore, the identification of oxidized lipids was carried out to better understand the possible phenomena of lipid oxidation related to this technological process. The results confirm that the lipidomic approach adopted is effective in implementing the knowledge of the effects of X-ray irradiation on food and evaluating its safety aspects. Furthermore, Partial Least Squares-Discriminant Analysis (PLS-DA) and Linear Discriminant Analysis (LDA) were applied showing high discriminating ability with excellent values of accuracy, specificity and sensitivity. Through the PLS-DA and LDA models, it was possible to select 40 and 24 lipids, respectively, including 3 ceramides (Cer), 1 hexosyl ceramide (HexCer), 1 lysophosphatidylcholine (LPC), 1 lysophosphatidylethanolamine (LPE), 3 phosphatidic acids (PA), 4 phosphatidylcholines (PC), 10 phosphatidylethanolamines (PE), 5 phosphatidylinositols (PI), 2 phosphatidylserines (PS), 3 diacylglycerols (DG) and 9 oxidized triacylglycerols (OxTG) as potential markers of treatment useful in food safety control plans.